Identification of data Sources for Indirect Comparisons: Methodology of a PRISMA-Aligned SLR Enhanced by Human-Supervised LLM Automation
Autre
Hématologie
Autres
poster
Auteurs : Céline CONTE, Laura SAINT-LARY, Dahbia HORCHI, Marie-Ange RASENDRA, Nada ASSI, Fanny RAGUIDEAU
Date de publication : 3 septembre 2026
Objectifs
The objective of this pilot study was to develop and assess automation approaches to conduct SLR, supporting comparative analyses, either via indirect treatment comparisons (ITC) on aggregated data, or by individual patient data to build an external control arm.
Conclusion
This pilot study will help assess the interest and limits of automation approaches to conduct SLR, notably for the identification of relevant data sources and KEM to support indirect treatment comparisons.